Manager, Product Management, AI/ML Platform Infrastructure

Manager, Product Management, AI/ML Platform Infrastructure

Manager, Product Management (PXDP50)

Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.

About the Team
 

At Capital One, we’re changing banking for good. We were founded on the belief that no one should be locked out of the financial system. We’re dedicated to helping foster a world where everyone has an equal opportunity to prosper.  

 

We’re a bank. But we don’t think like one. We’re always thinking about what’s next. About how we can innovate, inspire, and develop the tools our customers need to improve their financial lives. Machine learning is at the heart of our approach. We provide millions of customers with individualized, real-time experiences, protection, and decisions driven by machine learning and advanced analytic capabilities. 

Empowering Capital One model developers to rapidly innovate, the Enterprise AI/ML organization provides the comprehensive platform, tools, and infrastructure necessary to deliver impactful machine learning models and cutting-edge customer experiences. As part of Capital One’s Enterprise AI and Machine Learning Product organization, you will contribute directly to shaping the platforms and tools that thousands of engineers, data scientists and analysts across the business apply to making decisions, managing risk, detecting fraud, and delivering intelligent and personalized customer experiences. You’ll have the opportunity to work with industry-leading and emerging technologies and methods to support some of the most critical applications as well as the most promising new use cases for ML and AI.

In this role, you will be accountable for maintaining the infrastructure that powers the AI/ML platforms across Capital One. you will act as the champion for system reliability, performance, and operational efficiency. You’ll identify opportunities for standardization, automation, and innovation in infrastructure and tooling to ensure scalable and resilient solutions for the enterprise. You’ll collaborate with engineering teams and stakeholders to define requirements and deliver robust platforms that support our product portfolio. 

The ideal candidate is passionate about technology and data, and deeply empathizes with engineers and analysts. They are an outspoken advocate for best practices in code and data management, excited about the potential to streamline and automate repetitive work, and ready to get into the weeds on integration testing and deployment patterns. They keep a finger on the pulse of modern data and modeling tools and the problems they solve. They are comfortable in conversation with software engineering and data science teams as well as non-technical stakeholders and senior leaders.

Product Managers take a holistic approach to creating value through applying human-centered design principles, deeply understanding the needs and opportunities in our business, fostering technological innovation, applying creativity to solve hard problems and embracing boundaryless leadership. Your expertise and insight will be integral to accelerating technology innovation and enabling better customer experiences at Capital One.

Specific responsibilities include, but are not limited to:

• Cultivate a thorough understanding of the problem space and key audiences related to modeling at Capital One, as well as the landscape of partner teams and related enterprise platforms, by working closely with customers as well as partners in product, tech, architecture and risk to inform strategy, prioritization and requirements definition

• Develop and communicate a compelling vision through clear and concise presentations, documents and demos of your product’s developer experience, tailoring approaches to a range of audiences from technical users to internal and customer leadership teams

• Make difficult trade-off and prioritization decisions by working backwards from a customer need and quantifying the value or strategic benefits of your recommendations

• Build and maintain partnerships with peers, customers and stakeholders that enable collaboration towards shared goals, leveraging strong influence skills to improve the overall enterprise ecosystem

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